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Audio Data Scientist Jobs (NOW HIRING)

... data science solution design, technical delivery, and measurable business outcome. 4. Engage in ... Visual / Audio / Speaking Able to access and interpret client information received from the ...

Descript is building a simple, intuitive, fully-powered editing tool for video and audio, leveraging cutting-edge AI technologies. As a founding product data scientist, you will conduct in-depth ...

Research Staff, Data Science

San Francisco, CA · On-site +1

$150K - $220K/yr

The challenges are rooted in fundamental data problems posed by audio: real-world audio data is ... Conversational audio presents incredibly rich scientific, engineering, and infrastructure ...

The Lead Data Scientist will build new AI enabled smart services that surprise and delight our customers and work with big data (text, images, audio & other) to solve real-world problems. Essential ...

Research Scientist

San Francisco, CA · On-site

$210K - $360K/yr

About David AI David AI is the first audio data research company. We bring an R&D approach to data ... About this role As a Research Scientist at David AI you'll build cutting-edge speech and audio ...

... Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross ...

... Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross ...

... Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross ...

... Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross ...

... data valuable, and how to best leverage that ... Conversational audio presents incredibly rich scientific, engineering, and infrastructure ...

We are scientists, engineers, and builders who've created some of the most widely used AI products ... Collaborate with data and infrastructure teams to scale audio training efficiently across ...

$200 - $250/hr

The Data Science & Analytics organization accelerates decision-making at scale through analytics, experimentation, causal inference, and machine learning. This role sits within the Audio-Video ...

Lead Data Scientist, Product

San Francisco, CA · On-site +1

$200K - $250K/yr

Our vision is to build the next generation platform to enable easy and fast creation of audio and ... As a lead product data scientist on the team, you will play a critical role in shaping our growth ...

You will lead data science expertise for a content metadata overhaul to power new audience-focused ... Experience with Automatic Speech Recognition (ASR), diarization, and audio preprocessing pipelines.

... data valuable, and how to best leverage that ... Conversational audio presents incredibly rich scientific, engineering, and infrastructure ...

... Data Science. They are seeking an ML Engineer to design, build, and deploy production-grade ML systems, focusing on audio data and real-time audio understanding, while collaborating with cross ...

Showing results 41-60

Audio Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do audio data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for audio data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an audio data scientist?

An Audio Data Scientist is a professional who specializes in analyzing and interpreting audio data using statistical, machine learning, and signal processing techniques. They work with sounds, speech, and music to extract meaningful information, develop models, and create applications such as speech recognition, audio classification, and sound event detection. Their work often involves cleaning and preprocessing audio signals, feature extraction, and building predictive models to solve real-world problems related to audio data.

How does an audio data scientist typically collaborate with engineers and product teams on audio-related projects?

Audio Data Scientists frequently work alongside software engineers, product managers, and UX designers to develop and refine machine learning models for audio analysis, such as speech recognition or sound classification. They are often responsible for translating raw audio data into actionable insights, sharing findings, and integrating models into existing products. Regular cross-functional meetings and code reviews are common, ensuring that the models meet product requirements and perform accurately in real-world environments. Collaboration is essential, as feedback from other teams helps improve both the technical and user experience aspects of audio features.

What are the key skills and qualifications needed to thrive as an audio data scientist, and why are they important?

To thrive as an Audio Data Scientist, you need a strong background in machine learning, digital signal processing, and statistics, typically supported by a degree in computer science, engineering, or a related field. Proficiency with programming languages like Python or MATLAB, experience with audio analysis libraries (such as librosa or PyDub), and familiarity with machine learning frameworks (like TensorFlow or PyTorch) are essential. Strong analytical thinking, creativity, and effective communication skills help distinguish top performers in this role. These skills ensure the accurate extraction, modeling, and interpretation of complex audio data to drive innovation and actionable insights.

What is the difference between Audio Data Scientist vs Audio Engineer?

AspectAudio Data ScientistAudio Engineer
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of machine learning and statisticsDegree or certification in Audio Engineering, Sound Design, or related field; technical skills in audio equipment and software
Work EnvironmentData analysis labs, research teams, tech companies, often involving programming and data modelingRecording studios, live event venues, broadcasting stations, focusing on sound recording and mixing
Industry UsageTech companies, AI development, research institutionsMusic production, broadcasting, live sound, film post-production

While both roles involve audio, an Audio Data Scientist focuses on analyzing audio data using data science techniques, whereas an Audio Engineer specializes in recording, mixing, and producing sound. The roles differ in skills, tools, and work environments but may overlap in audio technology applications.

What are popular job titles related to Audio Data Scientist jobs?

For Audio Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Audio Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Fraud Data Scientist II

Atlanta, GA • On-site

Truist
Finance and Insurance • 10K+ employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago


Truist rating

8.0

Company rating: 8.0 out of 10

Based on 124 frontline employees who took The Breakroom Quiz


Job description

The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.

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If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).

Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)Please review the following job description:Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.

For this opportunity, Truist will not sponsor an applicant for work visa status or employment authorization, nor will we offer any immigration-related support for this position (including, but not limited to H-1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN-1 or TN-2, E-3, O-1, or future sponsorship for U.S. lawful permanent residence status.)

ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders.
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements.
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications.
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist's capabilities.
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities.


QUALIFICATIONS
Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
1. Bachelor's degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.)
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
7. Experience in managing multiple projects with tight deadlines in a collaborative environment

Preferred Qualifications:
1. Master's degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
2. Four years of relevant work experience if candidate lacks graduate degree
3. Previous experience in the banking or fin-tech industry

OTHER JOB REQUIREMENTS / WORKING CONDITIONS

Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist's generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist's defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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About Truist

Sourced by ZipRecruiter

Truist is combining distinctive personal service with investments in innovation to create transformational client experiences. We believe the unique blend of human touch and innovative technology will set us apart, instill confidence, and build deeper levels of trust with our clients

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

2019